Product Quality Manager

The Product Quality Manager has overall, end-to-end quality responsibility for a range of diverse Beats and Apple accessories. This is a highly visible, hands-on role that works across multiple products, suppliers, management levels, and functions to ensure that the products fulfill the promise of Apple Quality of fit, form, and function. This role involves partnerships with Engineering, Product Design, Program Management, Product Integrity, AppleCare, and component teams. Strong technical, presentation, and organizational skills are essential.

Description

This role surpasses conventional quality execution. It is specifically designed for individuals who possess the ability to evolve into AI-driven quality systems initiatives. These initiatives will leverage data, automation, and predictive analytics to proactively identify and mitigate potential failures before they manifest.

Minimum Qualifications

Technical degree in Mechanical, Electrical, Materials Science, or Industrial Engineering or equivalent.
High volume manufacturing experience with a detailed understanding of advanced product quality planning, production processes, testing, kitting, and packaging (e.g., consumer electronics, automotive, medical devices, etc.).
Proficiency in GD&T, metrology, and measurement equipment and techniques.
Experience with statistical techniques including SPC, sampling AQLs, measurement system analysis (GR&R), process capability (Cpk).
Problem-solving skills utilizing quality tools and capable of identifying the root cause of challenging problems and implementing corrective actions with stringent deadlines.
Strong proficiency in JMP and/or Minitab, including statistical analysis, SPC, regression, process capability, and visualization.
Discriminating eye for demanding cosmetic categorization and supplier inspection
Able to build relationships and lead by influence; this role requires advocating for change with a variety of teams across Apple
Effective interpersonal and communication skills with the ability to manage and drive issues to closure
Knowledge of Quality Systems, Design of Experiments, Reliability Methods/Models
International travel is required (up to 25%).

Preferred Qualifications

Exposure to Python, data analytics, or AI/ML concepts (not mandatory but strong plus)
Experience working with automated inspection or smart manufacturing systems
Understanding of data pipelines, MES systems, or IoT-enabled manufacturing
Interest in building AI-driven quality systems and automation workflows
A Master’s degree in Engineering is considered a plus.